Agent Workforce Platform

Run an agent workforce
you can trust
in production.

Give every agent a role, company context, scoped permissions, review paths, evals, and a budget. See what it did, what it cost, and whether it worked, from one operating layer you deploy and own.

Your AWSOpen sourceHuman reviewMeasured outcomes
Vocion · Command Center
Acme Health · workforceThis weekSearch⌘K
Business impact
This week · vs. baseline
−38%
Response time
9.1h → 5.6h
−41%
Cost to serve
$3.10 → $1.84 / ticket
−27%
Rework
12% → 8.7% of runs
4,812
runs
88%
avg quality
98%
reviewer aligned
MPK4 waiting on review
Agent roster4 of 12 shown
Sales Follow-Up
RevOpsHealthy
92%
Support Reply
CXNeeds review
89%
Renewal Risk
CSImproving
87%
Meeting Triage
Ops
No data yet
12 agents on the roster — owned, reviewed, and measured like any other operating asset.

AI agents are easy to hire.
Hard to manage.

01

Who owns it?

02

What did it do?

03

Who approved it?

04

Did it work?

05

What did it cost?

Any team can stand up an impressive agent in an afternoon. Production dies on these five questions — Vocion is built so each one has an answer on screen.

The operating model

One loop runs every agent.

Define the role. Run the work. Review where judgment matters. Measure quality, cost, and outcome. Improve from what reviewers approve.

Improvement feeds the next definition — every run traces to the version that produced it01DefineRole · contextTools · budget02RunWorkflow · systemsActions03ReviewPolicy · approvalsEscalation04MeasureQuality · costOutcome05ImproveApproved learningNew version
One operating loop for every agent: the rail stays fixed — role, policy, and review — while the work moves through it, measured at every pass.

Run

Your AI workforce, in one place.

A registry of who runs what — owners, budgets, quality, status — with everything that needs a person converging on one inbox.

Agent Registry
AgentAvg scoreStatus
Sales Follow-Up
RevOps
92%
Healthy
Support Reply
CX
84%
Needs review
Board Reporting
Finance
96%
Healthy
Renewal Risk
CS
87%
Improving
Run many agents as owned, governed assets — ownership, cost, quality, and review in one place.
Inbox
KindAllApprovalsAgent questionsErrorsScheduled
FromEveryoneYouSupport ReplySales Follow-UpBoard Reporting
  • Support Reply · enterprise refund response ready for sign-off

    2m

    Draft cites the open credit memo · eval check passed · SLA 3h left

  • Sales Follow-Up · "Two contacts share this deal — who owns the thread?"

    18m

    Run paused at step 3 of 6 · resumes on your answer

  • Board Reporting · warehouse connection timed out, retry scheduled

    1h

    No output shipped · third retry at 6:00 AM · owner: Finance

  • Renewal Risk · weekly account sweep completed, 3 flags for review

    4h

    642 accounts read · 3 above risk threshold · learnings applied: 2

Delegated work reports back to one queue — approvals, questions, and exceptions, filtered by kind and by who (or what) sent them.

The registry, the inbox, and the roster

Govern

Delegate the work. Keep the accountability.

Every agent has an owner.

A budget.

A review path.

A record.

Contextwhat it knowsPolicywhat it may doExecutionthe work itselfReviewwhere judgment sitsRecordwhat stands afterThe rails stay fixedThe work moves fast inside them
Run Trace
  1. Triggered
    New enterprise support ticket — Acme Health
  2. Context retrieved
    Ticket, contract, history, escalation policy
  3. Decision record
    Classified as billing escalation with renewal sensitivity
  4. Tools called
    Account lookup · KB search · SLA check
  5. Draft generated
    Response draft created · eval check passed
  6. Human review requested
    “Mention the open credit memo; remove refund commitment.”
  7. Approved & logged
    Approved by Morgan, CX Lead · CRM updated
Accountability: reviewed outputs ship with the approval, the decision record, and the cost — so “why did it do that?” has an answer on screen.
Support Reply · Autonomy

Monthly budget

$763 of $1,200

Access

Zendesk · Docs · Slack

Least privilege · read + draft only

Suggesting: every output waits for a named person — the default for anything customer-facing.

Autonomy, policy, and guardrails

Measure

What changes when a role is staffed.

Manage your agents on performance, not usage — quality, cost, cycle time, and outcomes, per agent. Illustrative week from the open demo workloads:

9h → 40min

first response

38% → 81%

same-day resolution

11min → 2min

human time per reply

Support queue · week

Manual
  • First response9h avg
  • Escalation catchmanual
  • Reply drafting11 min each

38%

same-day resolution

Support queue · week

With a coworker
  • First response40 min avg
  • Escalation catchflagged + routed
  • Human time per reply2 min review

81%

same-day resolution

Illustrative scenario from the open demo workloads — clone one and measure your own week.

Evals and measurement

Own

Your workforce runs in your AWS account.

Open source (MPL-2.0), deployed on AWS's production agent infrastructure, under controls you already audited. The roles, the know-how, and the record accumulate in systems you own.

Your AWS account

VOCIONthe workforce layer — roles · review · evals · recordMPL-2.0 · YOURS

AgentCore

runs the agent loop

Bedrock Guardrails

screens every run

CloudWatch · OTEL

traces in your stack

Your IAM · VPC · KMS · CloudTrail

the controls your security team already audited

$ terraform apply — the whole stack, one command · AWS Marketplace · air-gapped reference

Start

Start with a real job your team does every week.

Sales follow-up

Drafts from CRM context and call notes. A rep approves. Measured on quality, speed, and outcomes.

Support reply

Grounded draft replies, edge cases escalated, a human on anything sensitive.

Business reporting

Structured updates from your data, held for review, every report on the record.

Back-office work

Finance, recruiting, delivery, customer success — reviewed, measured, on the roster.

Run a workforce that survives production.

SaaS builders make generic agents; execution layers govern the model call. Vocion is the operating layer for company-specific work — your context, your systems, your approvals — standing on AWS for the plumbing.